Stochastic Processes for Physicists
Understanding Noisy Systems

Introduction to stochastic processes and their applications, and methods for numerical simulation, for graduate students and researchers in physics.

Kurt Jacobs (Author)

9780521765428, Cambridge University Press

Hardback, published 18 February 2010

204 pages, 17 b/w illus. 73 exercises
24.9 x 17.3 x 1.5 cm, 0.57 kg

'I think this book is a very nice introduction to the subject of stochastic processes.' Zentralblatt MATH

Stochastic processes are an essential part of numerous branches of physics, as well as in biology, chemistry, and finance. This textbook provides a solid understanding of stochastic processes and stochastic calculus in physics, without the need for measure theory. In avoiding measure theory, this textbook gives readers the tools necessary to use stochastic methods in research with a minimum of mathematical background. Coverage of the more exotic Levy processes is included, as is a concise account of numerical methods for simulating stochastic systems driven by Gaussian noise. The book concludes with a non-technical introduction to the concepts and jargon of measure-theoretic probability theory. With over 70 exercises, this textbook is an easily accessible introduction to stochastic processes and their applications, as well as methods for numerical simulation, for graduate students and researchers in physics.

1. A review of probability theory
2. Differential equations
3. Stochastic equations with Gaussian noise
4. Further properties of stochastic processes
5. Some applications of Gaussian noise
6. Numerical methods for Gaussian noise
7. Fokker–Planck equations and reaction-diffusion systems
8. Jump processes
9. Levy processes
10. Modern probability theory
Appendix
References
Index.

Subject Areas: Mathematical physics [PHU], Statistical physics [PHS], Probability & statistics [PBT], Finance [KFF]